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Large language models for business process management: Opportunities and challenges
Large language models are deep learning models with a large number of parameters. The
models made noticeable progress on a large number of tasks, and as a consequence …
models made noticeable progress on a large number of tasks, and as a consequence …
Hybridization of hybrid structures for time series forecasting: A review
Achieving the desired accuracy in time series forecasting has become a binding domain,
and develo** a forecasting framework with a high degree of accuracy is one of the most …
and develo** a forecasting framework with a high degree of accuracy is one of the most …
A novel deep learning-based intrusion detection system for IOT networks
A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
The AI digital revolution in innovation: A conceptual framework of artificial intelligence technologies for the management of innovation
Artificial Intelligence (AI) is an emerging technological field with immense transformative
potential. Within this context, we discuss the diverse ways AI is transforming innovation. We …
potential. Within this context, we discuss the diverse ways AI is transforming innovation. We …
[HTML][HTML] Machine learning in business process management: A systematic literature review
Abstract Machine learning (ML) provides algorithms to create computer programs based on
data without explicitly programming them. In business process management (BPM), ML …
data without explicitly programming them. In business process management (BPM), ML …
Deep learning for predictive business process monitoring: Review and benchmark
Predictive monitoring of business processes is concerned with the prediction of ongoing
cases on a business process. Lately, the popularity of deep learning techniques has …
cases on a business process. Lately, the popularity of deep learning techniques has …
[HTML][HTML] Enhancing intrusion detection in IoT systems: A hybrid metaheuristics-deep learning approach with ensemble of recurrent neural networks
P Sanju - Journal of Engineering Research, 2023 - Elsevier
Significant benefits have been brought to various industries by IoT (Internet of Things), but
new security challenges have also been introduced due to the sheer volume and complexity …
new security challenges have also been introduced due to the sheer volume and complexity …
A CRITIC-TOPSIS and optimized nonlinear grey prediction model: A comparative convergence analysis of marine economic resilience
The strength of marine economic resilience (MER) determines whether a region can
maintain its original development path or fall into stagnation in the face of economic shock …
maintain its original development path or fall into stagnation in the face of economic shock …
[HTML][HTML] Using machine learning in business process re-engineering
A business process re-engineering value in improving the business process is undoubted.
Nevertheless, it is incredibly complex, time-consuming and costly. This study aims to review …
Nevertheless, it is incredibly complex, time-consuming and costly. This study aims to review …
The role of artificial intelligence in develo** a banking risk index: an application of Adaptive Neural Network-Based Fuzzy Inference System (ANFIS)
Banking risk measurement and management remain one of many challenges for managers
and policymakers. This study contributes to the banking literature and practice in two ways …
and policymakers. This study contributes to the banking literature and practice in two ways …